Application of Contrast-Enhanced Ultrasound in the Differential Diagnosis of Different Molecular Subtypes of Breast Cancer

Liang, Xingyu; Li, Ziyao; Zhang, Lei; Wang, Dongmo; Tian, Jiawei

doi:10.1177/0161734620959780

Cited by 17 publications

(21 citation statements)

References 29 publications

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“…In the current study, LA subtype was discriminated by synchronous enhancement, and iso-or hypoenhancement, indicating low perfusion, which was consistent with previous research reports. 17 In the QLAB software, AUC reflects the total perfusion intensity from the time of contrast agent arrival to 3 min, and PI reflects the intensity of the highest point of the curve. In the TIC, the AUC of the LA subtype was significantly lower than that of the H2 and TN subtypes, and the PI was significantly lower compared with the other three subtypes.…”

Section: Discussionmentioning

confidence: 99%

“…The classification of CEUS perfusion patterns was based on our clinical experience and previous literature. 17 We evaluated eight qualitative features. The enhancement speed, that is, the order of enhancement of the lesion relative to the surrounding breast tissue during the rise time (synchronous enhancement, fast enhancement).…”

Section: Ceus Examination and Image Analysismentioning

confidence: 99%

“…BCs are vascular-dependent, which means that angiogenesis is crucial for their growth and metastasis, with different molecular subtypes having different patterns of vascular distribution. 17 Ultrasound contrast agents are blood-pool tracers, which can enhance the contrast between tumor blood vessels and surrounding tissues, thus improving the signal-to-noise ratio. 18 Analysis of CEUS dynamic images using QLAB software provides quantitative parameters that can make up for the lack of visual image resolution, and time-intensity curve (TIC) can be obtained by tracking and analyzing the region of interest (ROI).…”

mentioning

confidence: 99%

“…BCs are vascular‐dependent, which means that angiogenesis is crucial for their growth and metastasis, with different molecular subtypes having different patterns of vascular distribution 17 . Ultrasound contrast agents are blood‐pool tracers, which can enhance the contrast between tumor blood vessels and surrounding tissues, thus improving the signal‐to‐noise ratio 18 .…”

mentioning

confidence: 99%

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Association Between Contrast‐Enhanced Ultrasound Characteristics and Molecular Subtypes of Breast Cancer

Wen

Kong

Zhang

et al. 2021

J of Ultrasound Medicine

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Objective This study aimed to investigate the correlation between contrast‐enhanced ultrasound (CEUS) features and molecular subtypes of breast cancer (BC). Methods A total of 116 patients (116 lesions) with pathologically diagnosed BC who received conventional ultrasound and CEUS before surgery were enrolled in this study. BC molecular subtypes were identified by postoperative pathological and immunohistochemical analysis as Luminal A (LA), Luminal B (LB), HER2 (H2) over‐expression, and triple‐negative (TN). Qualitative and quantitative CEUS characteristics were analyzed by one‐way analysis of variance (continuous variables) or Pearson's χ2 test or Fisher's exact probability method (categorical variables). Results There were significant differences in enhancement speed and enhancement degree among the four subtypes (P < .05). The area under the curve (AUC), time to peak (TTP), and peak intensity (PI) differed among the four subtypes (P < .05). The AUC of the LA subtype (305.1 ± 188.4) was significantly smaller compared with the H2 (535.7 ± 222.0, P = .007) and TN subtypes (496.6 ± 254.7, P = .019). In addition, TTP was shorter in the H2 subtype (19.8 ± 4.9) compared with the other subtypes, and was significantly shorter than in the LA subtype (26.3 ± 7.2, P = .008) and LB subtype (23.1 ± 6.7, P = .036). The PI of the LA subtype (4.7 ± 2.3) was significantly lower than that of the LB (6.6 ± 2.3, P = .027), H2 (7.4 ± 2.2, P = .005), and TN subtypes (6.9 ± 2.6, P = .014). Conclusions CEUS features differed significantly among different molecular subtypes of BC. The enhancement patterns and parameters may be important predictive features of different subtypes of BC.

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Section: Discussionmentioning

confidence: 99%

Section: Ceus Examination and Image Analysismentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Association Between Contrast‐Enhanced Ultrasound Characteristics and Molecular Subtypes of Breast Cancer

Wen

Kong

Zhang

et al. 2021

J of Ultrasound Medicine

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“…For the classification of relevant instances, radio frequency data amplitude parameters known as Nakagami are used. Using contrast-enhanced perfusion and patterns, the author proposed breast cancer molecular subtypes [ 39 ]. The proposed improvement is important in the differential diagnosis of breast cancer subtypes.…”

Section: Related Workmentioning

confidence: 99%

Dilated Semantic Segmentation for Breast Ultrasonic Lesion Detection Using Parallel Feature Fusion

et al. 2021

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Breast cancer is becoming more dangerous by the day. The death rate in developing countries is rapidly increasing. As a result, early detection of breast cancer is critical, leading to a lower death rate. Several researchers have worked on breast cancer segmentation and classification using various imaging modalities. The ultrasonic imaging modality is one of the most cost-effective imaging techniques, with a higher sensitivity for diagnosis. The proposed study segments ultrasonic breast lesion images using a Dilated Semantic Segmentation Network (Di-CNN) combined with a morphological erosion operation. For feature extraction, we used the deep neural network DenseNet201 with transfer learning. We propose a 24-layer CNN that uses transfer learning-based feature extraction to further validate and ensure the enriched features with target intensity. To classify the nodules, the feature vectors obtained from DenseNet201 and the 24-layer CNN were fused using parallel fusion. The proposed methods were evaluated using a 10-fold cross-validation on various vector combinations. The accuracy of CNN-activated feature vectors and DenseNet201-activated feature vectors combined with the Support Vector Machine (SVM) classifier was 90.11 percent and 98.45 percent, respectively. With 98.9 percent accuracy, the fused version of the feature vector with SVM outperformed other algorithms. When compared to recent algorithms, the proposed algorithm achieves a better breast cancer diagnosis rate.

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Meta‐analysis of contrast‐enhanced ultrasound in differential diagnosis of breast adenosis and breast cancer

Zhang,

Sun,

Chen

et al. 2024

J of Clinical Ultrasound

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This systematic review and meta‐analysis study aimed to determine the total capacity of contrast‐enhanced ultrasound (CEUS) in the differential diagnosis of breast lesions and breast cancer. For collecting papers, four groups of keywords were searched in five databases. The required information was extracted from the selected papers. In addition to the descriptive findings, a meta‐analysis was also conducted. Thirty‐three of thirty‐six studies (91.67%) on the differential diagnosis of various degrees and types of breast lesions showed that CEUS has proper performance. The pooled values related to the sensitivity and specificity of CEUS were computed by 88.00 and 76.17.

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Application of Contrast-Enhanced Ultrasound in the Differential Diagnosis of Different Molecular Subtypes of Breast Cancer

Cited by 17 publications

References 29 publications

Association Between Contrast‐Enhanced Ultrasound Characteristics and Molecular Subtypes of Breast Cancer

Association Between Contrast‐Enhanced Ultrasound Characteristics and Molecular Subtypes of Breast Cancer

Dilated Semantic Segmentation for Breast Ultrasonic Lesion Detection Using Parallel Feature Fusion

Meta‐analysis of contrast‐enhanced ultrasound in differential diagnosis of breast adenosis and breast cancer

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